TY - GEN
T1 - AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels
AU - Bagheri, Alireza
AU - Sofotasios, Paschalis C.
AU - Tsiftsis, Theodoros A.
AU - Shahzadi, Ali
AU - Valkama, Mikko
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/9
Y1 - 2015/9/9
N2 - Cognitive radio is regulated to permit efficient access to leftover licensed bands by unlicensed users in an opportunistic manner. Spectrum sensing is aimed to protect the primary users from interferences of the secondary users. Energy detection constitutes the most dominant method for spectrum sensing in cognitive radio and many other systems owing to its non-coherent structure as well as its simplicity and applicability. The sensing capability of wireless detectors in unreliable environments is challenged by adverse effects of multipath fading. Motivated by this, in the presented work the performance analysis of the energy detector is investigated over η-μ and α-μ fading channels. Novel closed-form expressions are derived for the detector using the area under the receiver operating characteristic curve (AUC) measure. The derived analytical results are verified by numerical computations and Monte Carlo simulations.
AB - Cognitive radio is regulated to permit efficient access to leftover licensed bands by unlicensed users in an opportunistic manner. Spectrum sensing is aimed to protect the primary users from interferences of the secondary users. Energy detection constitutes the most dominant method for spectrum sensing in cognitive radio and many other systems owing to its non-coherent structure as well as its simplicity and applicability. The sensing capability of wireless detectors in unreliable environments is challenged by adverse effects of multipath fading. Motivated by this, in the presented work the performance analysis of the energy detector is investigated over η-μ and α-μ fading channels. Novel closed-form expressions are derived for the detector using the area under the receiver operating characteristic curve (AUC) measure. The derived analytical results are verified by numerical computations and Monte Carlo simulations.
UR - http://www.scopus.com/inward/record.url?scp=84953710075&partnerID=8YFLogxK
U2 - 10.1109/ICC.2015.7248521
DO - 10.1109/ICC.2015.7248521
M3 - Conference contribution
AN - SCOPUS:84953710075
T3 - IEEE International Conference on Communications
SP - 1410
EP - 1415
BT - 2015 IEEE International Conference on Communications, ICC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Communications, ICC 2015
Y2 - 8 June 2015 through 12 June 2015
ER -